One of the first zero-shot methods is BM3D [1]}. BM3D collects overlapping patches, clusters them and then finds a lower dimensional representation of those clustered patches. BM3D assumes Gaussian noise and requires a user supplied estimate of the standard deviation, therefore it is not blind. A more recent approach to non-blind denoising is [2]}, which uses a novel modelling strategy to better remove noise between similar patches.
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